Should we listen to risk managers when it comes to predicting future risks?

In risk management seminars and workshops, we often talk about risks that have occurred in the past, i.e. risks that have already been experienced (or at least the consequences of the risk). However, it is much more difficult to identify risks that have not yet materialised. Unknown risks.

This problem seems to occur not only in internal workshops with selected companies, but also with the mass of risk managers. If we look at the Allianz Risk Barometer 2020, we find no reference to a pandemic among the top 10 risks. For this survey, Allianz interviewed 2,700 risk management experts in 102 countries. The survey was conducted in October and November 2019, some time before the outbreak of the Covid-19 pandemic. A look at the appendix of the study shows that 3% of respondents cited “health problems (e.g. outbreak of a pandemic)” as a risk. It was categorised as a risk in 17th place. So a pandemic was not seen as a major risk. However, we now know what happened a few months later.

This year’s Allianz Risk Barometer (https://commercial.allianz.com/news-and-insights/reports/allianz-risk-barometer.html) shows that both “macroeconomic developments” and “political risks and violence” are seen as less important than in 2024. Macroeconomic developments are seen as a major risk by 15% of experts (last year: 19%, down two places), political risks and violence are seen as a key risk by 15% of respondents (same figure as last year, down one place). The survey was conducted again in October and November of last year. More than 3,700 experts from 106 countries were surveyed.

Looking back at the start of Trump’s presidency, it is clear that there are serious macroeconomic developments and political risks. The question arises: If even 3,700 experts in 2024 and 2,700 experts in 2019 – with a few exceptions – were wrong, what can be done to recognise and predict the major risks more accurately, more effectively, simply better?

Revisiting Supply Chain Risk

Supply Chain Risk Management (SCRM) is still a hot topic, where many companies are lacking implementation. However, researchers around the world are working on ways how supply chains can be designed in a way, so that they are (more) resilient. Within this context, George Zsidisin and Michael Henke compiled state-of-the-art expertise from a variety of researchers, all involved in SCRM, to publish “Revisiting Supply Chain Risk“.

“This book offers a bridge between our current understanding of supply chain risk in practice and theory, and the monumental shifts caused by the emergence of the fourth industrial revolution. Supply chain risk and its management have experienced significant attention in scholarship and practice over the past twenty years. Our understanding of supply chain risk and its many facets, such as uncertainty and vulnerability, has expanded beyond utilizing approaches such as deploying inventory to buffer the initial effects of disruptions. Even with our increased knowledge of supply chain risk, being in the era of lean supply chain practices, digitally managed global supply chains, and closely interconnected networks, firms are exposed as ever to supply chain uncertainties that can damage, or even destroy, their ability to compete in the marketplace. The book acknowledges the criticality of big data analytics in Supply Chain Risk Management (SCRM) processes and provides appropriate tools and approaches for creating robust SCRM processes. Revisiting Supply Chain Risk presents a state-of-the-art look at SCRM through current research and philosophical thought. It is divided into six sections that highlight established themes, as well as provide new insights to developing areas of inquiry and contexts on the topic. Section 1 examines the first step in managing supply chain risk, risk assessment. The chapters in Section 2 encompass resiliency in supply chains, while Section 3 looks at relational and behavioral perspectives from varying units of analysis including consortiums, teams and decision makers. Section 4 focuses on examining supply chain risk in the contexts of sustainability and innovation. Section 5 provides insight on emerging typologies and taxonomies for classifying supply chain risk. The book concludes with Section 6, featuring illustrative case studies as real-world examples in assessing and managing supply chain risk.” (Source: Springer website, https://www.springer.com/us/book/978303003812)

I am extremely grateful that I could contribute a chapter to this book, written together with Sascha Düerkop, researcher at Fulda University of Applied Science. Our chapter “Risk Management of Critical Logistical Infrastructures: Securing the Basis for Effective and Efficient Supply Chains” was developed based on research on critical infrastructures (RIMA-KIL, BARM-KIL).

Zsidisin, G. A./Henke, M. (Eds.): Revisiting Supply Chain Risk, Springer, 2019.

JOINOLOG proposal officially approved

Yesterday, I received the official approval for our proposed joint research project ‘JOINOLOG’ by DLR/BMBF. JOINOLOG as an acronym stands for ‘Jordan Innovation Center for Logistics’. The overall project aims to design and establish such an innovation center in Jordan that leads to focused applied research and the generation and implementation of innovations in the field of research. JOINOLOG will sustainably improve the strengths and competitiveness of the Jordanian logistic innovation ecosystem by research and knowledge transfer in the brought field of logistics, like transport systems or infrastructural measures.

The project is conducted by a consortium led by Fulda University of Applied Sciences. The consortium consists of: German-Jordanian University (GJU), Aqaba Logistics Village (ALV), the Higher Council for Science and Technology (HCST) in Jordan, Speditions- und Logistikverband Hessen/Rheinland-Pfalz e.V. (SLV), and House of Logistics and Mobility (HOLM) GmbH.

The approval applies to the prepartory phase of the project, which starts on 1 November 2018 and has a planned duration of one year. The outcome of the preparatory phase are the organizational structure of JOINOLOG and definition of core processes at JOINOLOG as well as the conditions and governance structures that should enable a better development and transfer of innovations.